Aarsland D

Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model.

Soliman A, Chang JR, Etminani K, ..., Alzheimer’s Disease Neuroimaging Initiative , Ochoa-Figueroa M

BMC Med Inform Decis Mak 22 (Suppl 6) 318 [2022-12-07; online 2022-12-07]

AIDA Data Hub [Service] Bioinformatics (NBIS) [Service]

A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer's disease, and mild cognitive impairment using brain 18F-FDG PET.

Etminani K, Soliman A, Davidsson A, ..., Garibotto V, Ochoa-Figueroa M

Eur J Nucl Med Mol Imaging 49 (2) 563-584 [2022-01-00; online 2021-07-30]

AIDA Data Hub [Service] Bioinformatics (NBIS) [Service]

A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer's disease.

Wightman DP, Jansen IE, Savage JE, ..., Andreassen OA, Posthuma D

Nat. Genet. 53 (9) 1276-1282 [2021-09-00; online 2021-09-07]

NGI Uppsala (SNP&SEQ Technology Platform) [Service] National Genomics Infrastructure [Service]

Common variants in Alzheimer's disease and risk stratification by polygenic risk scores.

de Rojas I, Moreno-Grau S, Tesi N, ..., van der Lee SJ, Ruiz A

Nat Commun 12 (1) 3417 [2021-06-07; online 2021-06-07]

NGI Uppsala (SNP&SEQ Technology Platform) [Service] National Genomics Infrastructure [Service]

Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk.

Jansen IE, Savage JE, Watanabe K, ..., Andreassen OA, Posthuma D

Nat. Genet. 51 (3) 404-413 [2019-03-00; online 2019-01-07]

NGI Uppsala (SNP&SEQ Technology Platform) National Genomics Infrastructure